With the construction of smart cities in full swing, the demand for infrastructure such as charging piles, transportation, water conservancy and environment is increasing, and the new infrastructure is gaining momentum. However, most of the existing researches stay in the exploration of traditional basic theories, with little theoretical support to match them. Based on the charging pile infrastructure project, this paper explores the reasonable sharing and management of risks among the various project participants and meets the actual interests of each participant. The study finds that the proportional allocation of shared risks helps to further clarify the cooperation rights and responsibilities of both parties, whether in the short or long term, and a clearer and more reasonable allocation of rights and responsibilities also helps the cooperativeness of multiple parties with important theoretical and practical significance. 

Na Zhao. Risk Management for Matching the Autonomy of Charging Pile Infrastructure Construction with the Participating Parties. International Journal of Frontiers in Engineering Technology (2021), Vol. 3, Issue 4: 46-49. https://doi.org/10.25236/IJFET.2021.030407.

[1] Embrechts P , Mcneil A , D Straumann. Correlation and Dependency in Risk Management[J]. Risk Management Value at Risk & Beyond, 1999:176--223.

[2] Mcneil A J , Frey R , Embrechts P . Quantitative Risk Management: Concepts, Techniques, and Tools. 2005.

[3]  Rockafellar T R , Uryasev S P . Conditional Value-at-Risk for General Loss Distributions[J]. Ssrn Electronic Journal, 2001.

[4]  Froot K A , Scharfstein D S , Stein J C . Risk Management: Coordinating Corporate Investment and Financing Policies[J]. Journal of Finance, 2012, 48(5):1629-1658.

[5] Hu D, Yang X , Ke X , et al. Design and implementation of charging pile group operation management unit[J]. Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2018, 46(20):135-141.

[6] Wei X , Du C , Zhao J . A network security situation awareness model for electric vehicle shared charging pile system[C]. 5Th International Conference On Energy Science And Applied Technology 2020.

[7] Qt A , Peng W A , Wei T A , et al. Benefit allocation model of distributed photovoltaic power generation vehicle shed and energy storage charging pile based on integrated weighting-Shapley method. ScienceDirect[J]. Global Energy Interconnection, 2020, 3( 4):375-384.

[8] Zhang Q , Yan L I , Wang G , et al. Credit Risk Modeling and Analysis for Crowdfunding Market of Electric Vehicle Charging Pile based on Complex Network. 

[9] Wang X , Xiang-Dong Q I . Research and design of electric car intelligent charging pile[J]. Journal of Mechanical & Electrical Engineering, 2014.